Learning Biomarker Models for Progression Estimation of Alzheimer's Disease.

Learning Biomarker Models for Progression Estimation of Alzheimer's Disease.

Being able to estimate a patient's progress in the course of Alzheimer's disease and predicting future progression based on a number of observed biomarker values is of great interest for patients, clinicians and researchers alike. In this work, an approach for disease progress estimation i...

Full description

Bibliographic Details
Main Authors:	Alexander Schmidt-Richberg, Christian Ledig, Ricardo Guerrero, Helena Molina-Abril, Alejandro Frangi, Daniel Rueckert, Alzheimer’s Disease Neuroimaging Initiative
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2016-01-01
Series:	PLoS ONE
Online Access:	http://europepmc.org/articles/PMC4838309?pdf=render

Similar Items

Evaluating Alzheimer's disease progression using rate of regional hippocampal atrophy.
by: Edit Frankó, et al.
Published: (2013-01-01)

Brain Entropy Mapping in Healthy Aging and Alzheimer’s Disease
by: Ze Wang, et al.
Published: (2020-11-01)

Comparing progression biomarkers in clinical trials of early Alzheimer’s disease
by: Nicholas C. Cullen, et al.
Published: (2020-09-01)

Correlation between Alzheimer’s disease and type 2 diabetes using non-negative matrix factorization
by: Yeonwoo Chung, et al.
Published: (2021-07-01)

Predicting the course of Alzheimer’s progression
by: Samuel Iddi, et al.
Published: (2019-06-01)

Dual-Model Radiomic Biomarkers Predict Development of Mild Cognitive Impairment Progression to Alzheimer’s Disease
by: Hucheng Zhou, et al.
Published: (2019-01-01)

Hearing Loss in Alzheimer’s Disease Is Associated with Altered Serum Lipidomic Biomarker Profiles
by: Daniel A. Llano, et al.
Published: (2020-11-01)

Topological Measurements of DWI Tractography for Alzheimer’s Disease Detection
by: Nicola Amoroso, et al.
Published: (2017-01-01)

Revealing heterogeneity of brain imaging phenotypes in Alzheimer's disease based on unsupervised clustering of blood marker profiles.
by: Gerard Martí-Juan, et al.
Published: (2019-01-01)

Data analysis with Shapley values for automatic subject selection in Alzheimer’s disease data sets using interpretable machine learning
by: Louise Bloch, et al.
Published: (2021-09-01)

Classification of Alzheimer’s and MCI Patients from Semantically Parcelled PET Images: A Comparison between AV45 and FDG-PET
by: Seyed Hossein Nozadi, et al.
Published: (2018-01-01)

Characterizing heterogeneity in the progression of Alzheimer's disease using longitudinal clinical and neuroimaging biomarkers
by: Devendra Goyal, et al.
Published: (2018-01-01)

The Effect of the APOE Genotype on Individual BrainAGE in Normal Aging, Mild Cognitive Impairment, and Alzheimer's Disease.
by: Luise Christine Löwe, et al.
Published: (2016-01-01)

How random is the random forest? Random forest algorithm on the service of structural imaging biomarkers for Alzheimer's disease: from Alzheimer's disease neuroimaging initiative (ADNI) database
by: Stavros I Dimitriadis, et al.
Published: (2018-01-01)

Inexpensive, non-invasive biomarkers predict Alzheimer transition using machine learning analysis of the Alzheimer's Disease Neuroimaging (ADNI) database.
by: Juan Felipe Beltrán, et al.
Published: (2020-01-01)

Using path signatures to predict a diagnosis of Alzheimer's disease.
by: P J Moore, et al.
Published: (2019-01-01)

Comparison and aggregation of event sequences across ten cohorts to describe the consensus biomarker evolution in Alzheimer's disease
by: Alzheimer's Disease Neuroimaging Initiative, et al.
Published: (2022)

ALTEA: A Software Tool for the Evaluation of New Biomarkers for Alzheimer’s Disease by Means of Textures Analysis on Magnetic Resonance Images
by: Carlos López-Gómez, et al.
Published: (2018-07-01)

Predicting Progression from Mild Cognitive Impairment to Alzheimer's Dementia Using Clinical, MRI, and Plasma Biomarkers via Probabilistic Pattern Classification.
by: Igor O Korolev, et al.
Published: (2016-01-01)

Multimodal neuroimaging study of cerebrovascular disease, amyloid deposition, and neurodegeneration in Alzheimer's disease progression
by: Patrick J. Lao, et al.
Published: (2018-01-01)

Sex differences in Alzheimer’s-related Tau biomarkers and a mediating effect of testosterone
by: Erin E. Sundermann, et al.
Published: (2020-06-01)

Cascaded Multi-view Canonical Correlation (CaMCCo) for Early Diagnosis of Alzheimer’s Disease via Fusion of Clinical, Imaging and Omic Features
by: Asha Singanamalli, et al.
Published: (2017-08-01)

Spatial correlation maps of the hippocampus with cerebrospinal fluid biomarkers and cognition in Alzheimer's disease: A longitudinal study
by: Liu, C., et al.
Published: (2021)

Detection of gray matter microstructural changes in Alzheimer’s disease continuum using fiber orientation
by: Peter Lee, et al.
Published: (2020-10-01)

Mapping longitudinal scientific progress, collaboration and impact of the Alzheimer's disease neuroimaging initiative.
by: Xiaohui Yao, et al.
Published: (2017-01-01)

Fast score test with global null estimation regardless of missing genotypes.
by: Shuntaro Sato, et al.
Published: (2018-01-01)

Random forest prediction of Alzheimer's disease using pairwise selection from time series data.
by: P J Moore, et al.
Published: (2019-01-01)

Potential Clinical Value of Multiparametric PET in the Prediction of Alzheimer's Disease Progression.
by: Xueqi Chen, et al.
Published: (2016-01-01)

Prediction and classification of Alzheimer disease based on quantification of MRI deformation.
by: Xiaojing Long, et al.
Published: (2017-01-01)

Multimodal Discrimination of Alzheimer's Disease Based on Regional Cortical Atrophy and Hypometabolism.
by: Hyuk Jin Yun, et al.
Published: (2015-01-01)

Aspirin using was associated with slower cognitive decline in patients with Alzheimer's disease.
by: Jinyan Weng, et al.
Published: (2021-01-01)

Mitochondrial haplotypes associated with biomarkers for Alzheimer's disease.
by: Perry G Ridge, et al.
Published: (2013-01-01)

Identification of Alzheimer’s Disease on the Basis of a Voxel-Wise Approach
by: Iman Beheshti, et al.
Published: (2019-07-01)

Classification of Alzheimer’s Disease by Combination of Convolutional and Recurrent Neural Networks Using FDG-PET Images
by: Manhua Liu, et al.
Published: (2018-06-01)

Network propagation of rare variants in Alzheimer's disease reveals tissue-specific hub genes and communities.
by: Marzia Antonella Scelsi, et al.
Published: (2021-01-01)

The dynamics of biomarkers across the clinical spectrum of Alzheimer’s disease
by: Christoforos Hadjichrysanthou, et al.
Published: (2020-06-01)

A multivariate predictive modeling approach reveals a novel CSF peptide signature for both Alzheimer's Disease state classification and for predicting future disease progression.
by: Daniel A Llano, et al.
Published: (2017-01-01)

Predicting progression and cognitive decline in amyloid-positive patients with Alzheimer’s disease
by: Hákon Valur Dansson, et al.
Published: (2021-09-01)

Functional Evolving Patterns of Cortical Networks in Progression of Alzheimer’s Disease: A Graph-Based Resting-State fMRI Study
by: Wei Li, et al.
Published: (2020-01-01)

Protective Factors Modulate the Risk of Beta Amyloid in Alzheimer’s Disease
by: Bin Zhou, et al.
Published: (2020-01-01)